1.Cultural resonance and medical practice: Heart rate variability test in Taiwanese psychiatry clinics.

Lin YH, Chen TY.
J Psychosom Res. 2024;184:111860.

台灣精神診所自律神經檢測：文化共鳴與醫療實務。

2. Perceived threat of potential military conflicts between Taiwan and China and psychological distress among Taiwanese individuals: A population-based study

Cheng-Fang Yen, Ray C. Hsiao, Yu-Hsuan Lin
Psychiatry and Clinical Neurosciences（2024). 

面對中國與台灣之間的軍事衝突為台灣民眾帶來的威脅感受與心理壓力：一項人口研究。

3. Rest-Activity Rhythm Differences in Acute Rehabilitation Between Poststroke Patients and Non–Brain Disease Controls: Comparative Study.

Huey-Wen Liang, Chueh-Hung Wu, Chen Lin, Hsiang-Chih Chang, Yu-Hsuan Lin, Shao-Yu Chen, Wei-Chen Hsu
J Med Internet Res 2024;26:e49530

我們在這篇研究中指出晝夜節律的型態與中風患者日常生活活動和譫妄評估分數呈相關，顯示晝夜節律指標可作為數位生物標記，有助於中風康復的診斷與預後分析。

4. Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: A Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities.

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Chen HH, Lin C, Chang HC, Chang JH, Chuang HH, Lin YH
J Med Internet Res 2024;26:e56144

我們將個人在智慧型手機上的行為資訊以深度學習及機器學習技術，建立個人化的行為模式模型以評估並分析心理活動，發現工作中的心智活動與日常心智活動及身體活動模式存在顯著差異。

5. Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study

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Chen HH, Lu HHS, Weng WH, Lin YH
J Med Internet Res 2023;25:e48834

我們使用機器學習演算法來預測醫護人員工作模式，成功開發並驗證該演算法能夠從智慧型手機互動模式中預測工作狀態。